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Found 6 papers, 2 papers with code
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization
In recent years, bilevel approaches have become very popular to efficiently estimate high-dimensional hyperparameters of machine learning models.
Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs
Clustering (or community detection) on multilayer graphs poses several additional complications with respect to standard graphs as different layers may be characterized by different structures and types of information.
Laplacian-based Semi-Supervised Learning in Multilayer Hypergraphs by Coordinate Descent
Graph Semi-Supervised learning is an important data analysis tool, where given a graph and a set of labeled nodes, the aim is to infer the labels to the remaining unlabeled nodes.
Avoiding bad steps in Frank Wolfe variants
The analysis of Frank Wolfe (FW) variants is often complicated by the presence of different kinds of "good" and "bad" steps.
Optimization and Control 46N10, 65K05, 90C06, 90C25, 90C30
Total variation based community detection using a nonlinear optimization approach
Thus we describe a new nonlinear optimization approach to solve the equivalent problem leading to a community detection strategy based on $TV_Q$.
Social and Information Networks Optimization and Control Physics and Society 49M20, 65K10, 91D30, 91C20
Improved penalty algorithm for Mixed Integer PDE Constrained Optimization Problems
Optimal control problems including partial differential equation (PDE) as well as integer constraints merge the combinatorial difficulties of integer programming and the challenges related to large-scale systems resulting from discretized PDEs.
Numerical Analysis Numerical Analysis Optimization and Control 65K05, 90C06, 90C11, 93C20, 90C51
